Zero generation decision engine inspired by jev architecture

Core Architectural Difference

Standard Generative LLM

Input Tokens --> Autoregressive Loop --> Emit Token 1 --> Emit Token 2 --> Emit Token 3 ... --> Stop Token --> Parse JSON

• Latency: Scales with the number of tokens generated (O(T) steps)
• Fragility: Syntax formatting can hallucinate or fail parsing

Jev-style Decision Engine

Input Tokens --> Single forward pass --> Extract single representation h --> Wh --> Softmax/sigmoid

• Latency: A single forward pass (O(1))
• Guarantees: 100% valid schema, bounded output space, zero output tokens billed or computed.